Databricks: Senior Finance Specialist (Data & AI) — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Senior Finance Specialist (Data & AI) in Bengaluru, India, under reference 8604579002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Finance
• Employer listing date: 1 July 2026

Responsibilities and work described

• As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation
• Report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge
• This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems
• Work: with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
• Development: and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial processes across accounting and FP&A domains, including revenue, expenses, equity, commissions, and tax
• Building: and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic
• Development: and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
• Contribution: to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders
• Building: and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
• Support: the implementation of row-level security and data access policies across Finance DataLake datasets
• Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements
• Support: financial close by monitoring pipelines, investigating data issues, and escalating as needed
• Participate in UAT for new system integrations and assist with technical documentation
• Contribution: to team coding standards and data modelling conventions under the guidance of the Finance Data Lead

Essential requirements and candidate background

• 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems
• Knowledge: finance and accounting concepts, including close processes, revenue recognition, and financial reporting
• Proficiency: SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a plus
• Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)
• Translate Finance requirements into clean, maintainable technical solutions with guidance
• Comfortable communicating across technical and non-technical audiences
• Experience contributing to BI dashboards and self-service data products
• Curiosity about AI/ML and interest in applying new techniques to Finance workflows

Preferred experience and additional strengths

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Exposure: AI/BI tools, Genie One, or LLM-powered applications

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Finance Specialist (Data & AI) vacancy is not an offer for reference 8604579002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8604579002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• CI/CD
• AI/ML
• LLMs
• SAP
• NetSuite
• Salesforce
• Git
• Excel
• AI